Magnonics
We study spin waves in YIG-based magnonic structures and work on wave-based neural networks.
We work on nanoscale phenomena and materials for future memory and unconventional computing technologies. We are interested in approaches that can be disruptive to the field. We study new control mechanisms of magnetism involving low-power voltages and ultrafast laser pulses. We work on low-loss hybrid magnonics, coupling of magnons to phonons, photons, and plasmons, reconfigurable magnonic neural networks, active control of magnetic skyrmions, and emerging phenomena in artificial spin ice. For smart in-sensor computing, we develop multisensory interconnected networks that can process multimodal information using photomemristor networks with build-in memory.
We are a multidisciplinary and experimental research group. Our laboratory houses dedicated equipment for material growth, lithography, and structural, magnetic, and electronic transport characterization. We operate pulsed laser deposition and magnetron sputtering systems for high-quality film growth, use super-Nyquist sampling magneto-optical Kerr effect microscopy and broadband spin-wave spectroscopy for spin-wave characterization, measure magnetoplasmonic properties using a femtosecond-laser setup and magneto-optical spectrometry, and analyze magnetic properties by various microscopy and magnetometry techniques.
We collaborate internationally on electric-field control of magnetism through two Marie Sklodowska-Curie Doctoral Networks, BeMAGIC and MagnEFi. Additionally, we co-ordinate a EU Research and Innovation Action on magnonic neural networks (MANNGA) and are participating in a Future Makers project, focusing on optical control of spin waves for low-power computing.
We study spin waves in YIG-based magnonic structures and work on wave-based neural networks.
We control magnetism by voltage using strain transfer in multiferroic structures and ion migration in metal/oxide bilayers.
We investigate the formation, annihilation, switching, and motion of magnetic skyrmions and skyrmion lattices.
We use plasmonics to tailor magneto-optical responses, study nanolasing, and control all-optical magnetic switching.
Utilizing frustration by design, we explore the real-time dynamics of magnetic excitations in artificial spin ice and spin glass systems.
We explore materials and concepts for neuromorphic computing and smart sensing technology.
We investigate energy-efficient computing using optically controlled spin waves